This is the dockerfile with all ML stuff I use.
Guide how to install ML environment on Ubuntu
git clone https://github.com/illusionww/docker-jupyter-nn-tools
cd docker-jupyter-nn-tools
sudo chmod -R 777 .
sudo docker build -t illusionww/jupyter-nn-tools .Your user should be added to the docker group (sudo usermod -a -G docker $USER). Alternatively, you can use sudo to run the failed command as root. If you want to run container only for one GPU (if you have several) you can add NV_GPU=<GPU_NUM> before command.
nvidia-docker run -ti --rm \
-v <YOUR HOST FOLDER FOR NOTEBOOKS>:/notebook -v <YOUR HOST FOLDER FOR DATA>:/data \
-p <YOUR EXTERNAL PORT FOR JUPYTER>:8888 -p <YOUR EXTERNAL PORT FOR TENSORBOARD>:6006 \
illusionww/jupyter-nn-toolsExample:
nvidia-docker run -ti --rm \
-v /home/illusionww/Documents:/notebook -v /data:/data \
-p 8888:8888 -p 6006:6006 \
illusionww/jupyter-nn-tools
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